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Local Feature Extraction

Detect interest points and extract feature descriptors


detectBRISKFeaturesDetect BRISK features and return BRISKPoints object
detectFASTFeaturesDetect corners using FAST algorithm and return cornerPoints object
detectHarrisFeaturesDetect corners using Harris–Stephens algorithm and return cornerPoints object
detectMinEigenFeaturesDetect corners using minimum eigenvalue algorithm and return cornerPoints object
detectMSERFeaturesDetect MSER features and return MSERRegions object
detectSURFFeaturesDetect SURF features and return SURFPoints object
detectKAZEFeaturesDetect KAZE features
extractFeaturesExtract interest point descriptors
extractLBPFeaturesExtract local binary pattern (LBP) features
extractHOGFeaturesExtract histogram of oriented gradients (HOG) features
matchFeaturesFind matching features
showMatchedFeaturesDisplay corresponding feature points
binaryFeaturesObject for storing binary feature vectors
BRISKPointsObject for storing BRISK interest points
cornerPointsObject for storing corner points
SURFPointsObject for storing SURF interest points
MSERRegionsObject for storing MSER regions
KAZEPointsObject for storing KAZE interest points


Corner DetectionCalculate corner metric matrix and find corners in images
Edge DetectionFind edges of objects in images using Sobel, Prewitt, Roberts, or Canny method
Template MatchingLocate a template in an image
Trace BoundaryTrace object boundaries in binary images


Understand Feature Detection and Extraction and Point Feature Types

Local Feature Detection and Extraction

Learn the benefits and applications of local feature detection and extraction

Point Feature Types

Choose functions that return and accept points objects for several types of features

Coordinate Systems

Specify pixel Indices, spatial coordinates, and 3-D coordinate systems

MATLAB Workflow

Find Corresponding Interest Points Between Pair of Images

Use local neighborhoods and the Harris algorithm to find corresponding interest points.

Find Corresponding Points Using SURF Features

Use the SURF local feature detector function to find corresponding points between two images.

Video Stabilization Using Point Feature Matching

This example shows how to stabilize a video that was captured from a jittery platform.

Object Detection in a Cluttered Scene Using Point Feature Matching

This example shows how to detect a particular object in a cluttered scene, given a reference image of the object.

Digit Classification Using HOG Features

This example shows how to classify digits using HOG features and a multiclass SVM classifier.

Simulink Workflow

Detect Edges in Images

Find the edges of rice grains in an intensity image

Detect Lines in Images

Find lines within images